There is no doubt about how Artificial Intelligence has been promising in many different industries. From replacing writers to outpacing doctors - its development has been a blessing, especially in the healthcare sector. Now, a new study from UCLA has found out that an AI tool identified prostate cancer with 84% accuracy. This was in comparison with the case detected by physicians, which were at a 67% accuracy.

Made by Avenda Health in California, Unfold AI, is a software which was recently cleared by the US Food and Drug Administration. It uses an AI algorithm to visualize the likelihood of cancer based on various types of clinical data.

As a part of the study, a team of 7 urologists and 3 radiologist analyzed 50 cases. In all of these, the researchers were looking for signs of residual cancer as tumors had been removed.

It was then concluded that, the “negative margin rate” — a medical term that describes the absence of cancer cells surrounding the removed tissue, was 45 times greater in AI-detected cases. Ali Kasraeian, M.D., a urologist at Kasraeian Urology in Jacksonville, Florida, while speaking to media said, "The AI takes the information that we currently have about a patient’s prostate cancer — like their pathology, imaging and biopsy results — and creates a 3D cancer estimation map." He further added, "The results we get from Unfold AI tell us if a patient will be better suited for focal therapy or more radical therapy, such as radical prostatectomy, or radiation therapy, ensuring we optimize their cancer cure, the personalization of their cancer care, and their quality of life goals."

Meanwhile, earlier, Google and the US Department of Defense joined forces to create an Augmented Reality Microscope (ARM) with advanced technology. The main aim was to aid in identifying cancer in real time. This groundbreaking device combines Machine Learning (ML) and Augmented Reality (AR) techniques to enhance the diagnostic capabilities of pathologists.

A CNBC report suggested that the ARM is a modified light microscope that can display real-time analysis and results directly within the lens's field of view. This innovation aims to make it easier for doctors to spot abnormalities.